자료유형  

 학위논문

Control Number  

0016932879

International Standard Book Number  

9798379868956

Dewey Decimal Classification Number  

333.9516

Main Entry-Personal Name  

Rich, Sabina.

Publication, Distribution, etc. (Imprint  

[S.l.] : North Carolina State University., 2022

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2022

Physical Description  

1 online resource(146 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

General Note  

Advisor: Tran, Hien;Lloyd, Alun;Kennedy-Stoskopf, Suzanne;Flores, Kevin.

Dissertation Note  

Thesis (Ph.D.)--North Carolina State University, 2022.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약By using the population level data of heterogeneous populations, statistical and mathematical approaches, such as Lasso and mixed effects modeling, to identify variables of interest and find a model that would fit different populations. The heterogeneity of the populations is exhibited in observational data on bonobos and simulated data involving oncology patients and the subsequent tumor dynamics. The results show that it is feasible to identify, and feature select variables that are of importance. In the bonobo dataset, sex, age and cardiac medication were consistent indicators and in the tumor dynamics, the growth and decay constants showed as central to understanding the subtleties of the tumor growth. This work sends a clear message that application of these methodologies can be extended to a variety of datasets in diverse research fields.

Subject Added Entry-Topical Term  

Endangered & extinct species.

Subject Added Entry-Topical Term  

Wildlife conservation.

Added Entry-Corporate Name  

North Carolina State University.

Host Item Entry  

Dissertations Abstracts International. 85-01B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:641922